2 citations · 3 across the 4 of their papers we have counts for
4 papers
Classical and Quantum Machine Learning for Population-Level Prediction of Heat-Related Physiological Events
Saul Gonzalez-Bermejo, Tommaso Albrigi, Borja Vazquez-Morado +4
Predicting heat-related physiological events at the population level is challenging due to the complex interactions among climatic, demographic, and socioeconomic factors, as well…
Hydration Monitoring Using Urinary Biomarkers: A Hybrid Classical Quantum Predictive Modeling Framework
Saul Gonzalez-Bermejo, Tommaso Albrigi, Borja Vazquez-Morado +7
Hydration status is a key physiological indicator associated with cellular homeostasis, renal function, and overall health. Recent advances in smart sensing environments enable pas…
Phonon interference effects in GaAs-GaP superlattice nanowires
Chaitanya Arya, Johannes Trautvetter, Jose M. Sojo-Gordillo +8
Fine-tuning the functional properties of nanomaterials is crucial for technological applications. Superlattices, characterized by periodic repetitions of two or more materials in d…
GaAs/GaP Superlattice Nanowires for Tailoring Phononic Properties at the Nanoscale: Implications for Thermal Engineering
Aswathi K. Sivan, Begoña Abad, Tommaso Albrigi +8
The possibility to tune the functional properties of nanomaterials is key to their technological applications. Superlattices, i.e., periodic repetitions of two or more materials in…